LTE Wireless Network Virtualization: Dynamic Slicing via Flexible Scheduling

Kamel, Mahmoud; Le, Long Bao; Girard, André

doi:10.1109/vtcfall.2014.6966044

Cited by 131 publications

(66 citation statements)

References 9 publications

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“…In fact, engineering the software defined wireless cellular network involves to develop the network and control architecture covering both wireless access and core networks as well as the corresponding interfaces [150,151]. In addition, there is a strong demand in devising more flexible and efficient sharing of expensive wireless infrastructure among multiple (virtual) wireless service providers and operators using wireless virtualization technologies [152][153][154][155][156][157][158]. Sharing of the wireless cellular infrastructure among multiple parties can be applied for both wireless access and core networks [159].…”

Section: Software Defined Networking and Wireless Virtualizationmentioning

confidence: 99%

“…To realize such virtualization vision for wireless networks, network resources must be abstracted and partitioned into different "slices", which can be then allocated to different (virtual) wireless operators who provide services to the end users [156][157][158]. Development of such slicing mechanisms that guarantee efficient utilization of the network resources, satisfactory isolation among different slices to enable independent deployment of various network algorithms and protocols by the involved wireless operators and to provide QoS support for wireless users remains one major challenge to address in this interesting research theme.…”

Section: Software Defined Networking and Wireless Virtualizationmentioning

confidence: 99%

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Enabling 5G mobile wireless technologies

Lau

Jorswieck

et al. 2015

J Wireless Com Network

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Research on 5G mobile wireless technologies has been very active in both academia and industry in the past few years. While there has been certain consensus on the overall requirements of 5G wireless systems (e.g., in data rate, network capacity, delay), various enabling wireless technologies have been considered and studied to achieve these performance targets. It has been quite clear, however, that there would be no single enabling technology that can achieve all diverse and even conflicting 5G requirements. In general, many fundamental changes and innovations to re-engineer the overall network architecture and algorithms in different layers and to exploit new system degrees of freedom would be needed for the future 5G wireless system. In particular, we may need to consider other potential waveform candidates that can overcome limitations of the orthogonal frequency multiple access (OFDM) waveform employed in the current 4G system, develop disruptive technologies to fulfill 5G rate and capacity requirements including network densification, employment of large-scale (massive) multiple input multiple output (MIMO), and exploitation of the millimeter wave (mmWave) spectrum to attain Gigabit communications. In addition, design tools from the computer networking domain including software defined networking, virtualization, and cloud computing are expected to play important roles in defining the more flexible, intelligent, and efficient 5G network architecture. This paper aims at describing key 5G enabling wireless mobile technologies and discussing their potentials and open research challenges. We also present how papers published in our special issue contribute to the developments of these disruptive 5G technologies.

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Section: Software Defined Networking and Wireless Virtualizationmentioning

confidence: 99%

Section: Software Defined Networking and Wireless Virtualizationmentioning

confidence: 99%

Enabling 5G mobile wireless technologies

Lau

Jorswieck

et al. 2015

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

show abstract

“…Additionally, the applicability of the algorithm in a competitive shared infrastructure scenario is also unclear. [15] and [16] provide other dynamic slicing approaches, but they also ignore the fact that the algorithm needs to be able to adapt to varying channel conditions. The main reason for [14]- [16] not taking these aspects into consideration is because they are also reliant on traditional (long-term) SLAs for network slicing.…”

Section: Introductionmentioning

confidence: 99%

Service-Aware Network Slice Trading in a Shared Multi-Tenant Infrastructure

Akguel¹,

Malanchini

Suryaprakash

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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Abstract-Maintaining service guarantees in a dynamic multitenant network, while ensuring an economically sustainable sharing platform, is a non-trivial problem. This paper, extending our previous work, develops a dynamic slicing and trading framework that can satisfy a variety of service guarantees. This framework not only determines the size of the network resource slices required for various active services, but it also adapts resource prices in accordance with the microeconomic laws of supply and demand. The proposed framework also ensures service continuity by learning the variations in the traffic mix as well as in the channel conditions, and by adjusting the slice assignments accordingly.

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“…The management of resources (e.g., radio, fibre, and processing resources) is the focus of many works [19], since the performance of virtual wireless networks is strongly affected by the way resources are used [20,21]. Aiming at achieving an efficient mapping from virtual radio resources onto available physical ones, a negotiation-based approach focusing on Long-Term Evolution (LTE)-Advanced is proposed in [22].…”

Section: Introductionmentioning

confidence: 99%

Modelling and implementation of virtual radio resources management for 5G Cloud RAN

Khatibi

Caeiro

Ferreira

et al. 2017

J Wireless Com Network

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The virtualisation of Radio Access Networks (RANs) is one of the goals in designing 5G mobile networks. This paper aims at presenting a proof of concept for the virtualisation of radio resources using Open Air Interface (OAI), a software-based Long-Term Evolution (LTE) eNodeB physical emulator. OAI was extended to support multi-tenancy, representing diverse Virtual mobile Network Operators (VNOs) with different Service Level Agreements (SLAs). A comprehensive analytical model for managing the virtual radio resources has been proposed, with two key parts: estimation of available radio resources and their allocation to different VNOs. The estimation is performed by the model, and the allocation is managed by OAI scheduling. Various scenarios and use cases are studied in this virtual RAN environment, network performance being evaluated for different situations, by varying guaranteed levels, serving weights, and used services. Results show that the proposed approach offers almost the same capacity to guaranteed VNOs regardless of other existing VNOs, experiencing at worst a degradation of 32% of its initial allocated data rate, without violation of the guaranteed data rate. The data rate allocated to best effort VNOs may decrease up to 7% of its initial value, which is acceptable, to guarantee other more demanding SLAs.

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LTE Wireless Network Virtualization: Dynamic Slicing via Flexible Scheduling

Cited by 131 publications

References 9 publications

Enabling 5G mobile wireless technologies

Enabling 5G mobile wireless technologies

Service-Aware Network Slice Trading in a Shared Multi-Tenant Infrastructure

Modelling and implementation of virtual radio resources management for 5G Cloud RAN

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